{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,20]],"date-time":"2026-01-20T12:43:37Z","timestamp":1768913017873,"version":"3.49.0"},"reference-count":21,"publisher":"Springer Science and Business Media LLC","issue":"12","license":[{"start":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T00:00:00Z","timestamp":1543190400000},"content-version":"tdm","delay-in-days":0,"URL":"http:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Neural Comput &amp; Applic"],"published-print":{"date-parts":[[2019,12]]},"DOI":"10.1007\/s00521-018-3903-5","type":"journal-article","created":{"date-parts":[[2018,11,26]],"date-time":"2018-11-26T00:43:15Z","timestamp":1543192995000},"page":"8139-8145","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Construction of prediction model of neural network railway bulk cargo floating price based on random forest regression algorithm"],"prefix":"10.1007","volume":"31","author":[{"given":"Jingwei","family":"Guo","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Jian","family":"Wang","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Qinglin","family":"Li","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Baohua","family":"Guo","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2018,11,26]]},"reference":[{"issue":"1","key":"3903_CR1","doi-asserted-by":"publisher","first-page":"511","DOI":"10.1016\/j.marpolbul.2016.05.066","volume":"110","author":"M Grote","year":"2016","unstructured":"Grote M, Mazurek N, Gr\u00e4bsch C, Zeilinger J, Le FS, Wahrendorf DS (2016) Dry bulk cargo shipping\u2014an overlooked threat to the marine environment? Mar Pollut Bull 110(1):511\u2013519","journal-title":"Mar Pollut Bull"},{"key":"3903_CR2","doi-asserted-by":"publisher","first-page":"111","DOI":"10.1007\/s10584-013-0968-0","volume":"122","author":"A Scholten","year":"2014","unstructured":"Scholten A, Rothstein B, Baumhauer R (2014) Mass-cargo-affine industries and climate change: the vulnerability of bulk cargo companies along the river Rhine to low water periods. Clim Change 122:111\u2013125","journal-title":"Clim Change"},{"key":"3903_CR3","doi-asserted-by":"publisher","first-page":"333","DOI":"10.1016\/j.oceaneng.2018.04.030","volume":"159","author":"L Ju","year":"2018","unstructured":"Ju L, Vassalos D, Wang Q, Wang Y, Liu Y (2018) Numerical investigation of solid bulk cargo liquefaction. Ocean Eng 159:333\u2013347","journal-title":"Ocean Eng"},{"issue":"44","key":"3903_CR4","doi-asserted-by":"publisher","first-page":"17226","DOI":"10.1021\/ie500209e","volume":"53","author":"RG Dondo","year":"2014","unstructured":"Dondo RG, Mendez CA (2014) A branch-and-price approach to manage cargo consolidation and distribution in supply chains. Ind Eng Chem Res 53(44):17226\u201317239","journal-title":"Ind Eng Chem Res"},{"issue":"2","key":"3903_CR5","doi-asserted-by":"publisher","first-page":"305","DOI":"10.1007\/s11116-013-9463-8","volume":"41","author":"JD Bitzan","year":"2014","unstructured":"Bitzan JD, Keeler TE (2014) The evolution of u.s. rail freight pricing in the post-deregulation era: revenues versus marginal costs for five commodity types. Transportation 41(2):305\u2013324","journal-title":"Transportation"},{"key":"3903_CR6","first-page":"1","volume":"Transportation(","author":"M Bababeik","year":"2017","unstructured":"Bababeik M, Nasiri MM, Khademi N, Chen A (2017) Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model. Transportation(3):1\u201328","journal-title":"Vulnerability evaluation of freight railway networks using a heuristic routing and scheduling optimization model."},{"issue":"1","key":"3903_CR7","doi-asserted-by":"publisher","first-page":"130","DOI":"10.1287\/trsc.2013.0486","volume":"49","author":"A F\u00fcgenschuh","year":"2015","unstructured":"F\u00fcgenschuh A, Homfeld H, Sch\u00fclldorf H (2015) Single-car routing in rail freight transport. Transp Sci 49(1):130\u2013148","journal-title":"Transp Sci"},{"issue":"1","key":"3903_CR8","doi-asserted-by":"publisher","first-page":"101","DOI":"10.1007\/s11116-014-9566-x","volume":"43","author":"M Feo-Valero","year":"2016","unstructured":"Feo-Valero M, Garc\u00eda-Men\u00e9ndez L, Saz-Salazar SD (2016) Rail freight transport and demand requirements: an analysis of attribute cut-offs through a stated preference experiment. Transportation 43(1):101\u2013122","journal-title":"Transportation"},{"key":"3903_CR9","doi-asserted-by":"publisher","first-page":"202","DOI":"10.1016\/j.apergo.2018.01.002","volume":"70","author":"A Naweed","year":"2018","unstructured":"Naweed A, Balakrishnan G, Dorrian J (2018) Going solo: hierarchical task analysis of the second driver in \u201ctwo-up\u201d (multi-person) freight rail operations. Appl Ergon 70:202\u2013231","journal-title":"Appl Ergon"},{"key":"3903_CR10","doi-asserted-by":"publisher","first-page":"537","DOI":"10.1016\/j.wear.2015.03.026","volume":"328\u2013329","author":"MRK Vakkalagadda","year":"2015","unstructured":"Vakkalagadda MRK, Vineesh KP, Racherla V (2015) Estimation of railway wheel running temperatures using a hybrid approach. Wear 328\u2013329:537\u2013551","journal-title":"Wear"},{"issue":"6","key":"3903_CR11","doi-asserted-by":"publisher","first-page":"889","DOI":"10.1007\/s10409-014-0119-5","volume":"30","author":"XH Zeng","year":"2014","unstructured":"Zeng XH, Wu H, Lai J, Sheng HZ (2014) Influences of aerodynamic loads on hunting stability of high-velocity railway vehicles and parameter studies. Acta Mech Sin 30(6):889\u2013900","journal-title":"Acta Mech Sin"},{"issue":"1","key":"3903_CR12","doi-asserted-by":"publisher","first-page":"226","DOI":"10.1016\/j.compchemeng.2015.08.012","volume":"84","author":"H Kwon","year":"2016","unstructured":"Kwon H, Lyu B, Tak K, Lee J, Cho JH, Moon I (2016) Optimization of naphtha purchase price using a price prediction model. Comput Chem Eng 84(1):226\u2013236","journal-title":"Comput Chem Eng"},{"issue":"4","key":"3903_CR13","first-page":"448","volume":"2","author":"Z Xie","year":"2015","unstructured":"Xie Z (2015) Case vii on the prediction of freight transportation by a new model fitting procedure of time series. J Approx Theory 2(4):448\u2013449","journal-title":"J Approx Theory"},{"issue":"2","key":"3903_CR14","doi-asserted-by":"publisher","first-page":"26","DOI":"10.1109\/MIS.2015.25","volume":"30","author":"W Zhang","year":"2015","unstructured":"Zhang W, Li C, Ye Y, Li W, Ngai EWT (2015) Dynamic business network analysis for correlated stock price movement prediction. IEEE Intell Syst 30(2):26\u201333","journal-title":"IEEE Intell Syst"},{"issue":"432","key":"3903_CR15","doi-asserted-by":"publisher","first-page":"375","DOI":"10.1016\/j.scitotenv.2012.06.016","volume":"432","author":"TY Chang","year":"2012","unstructured":"Chang TY, Lin HC, Yang WT, Bao BY, Chan CC (2012) A modified Nordic prediction model of road traffic noise in a Taiwanese city with significant motorcycle traffic. Sci Total Environ 432(432):375\u2013381","journal-title":"Sci Total Environ"},{"issue":"19","key":"3903_CR16","doi-asserted-by":"publisher","first-page":"6254","DOI":"10.1080\/01431161.2012.682661","volume":"33","author":"A Fallah","year":"2012","unstructured":"Fallah A, Fallah A, Fallah A, Pelz D (2012) Forest attribute imputation using machine-learning methods and aster data: comparison of k-NN, SVR and random forest regression algorithms. Int J Remote Sens 33(19):6254\u20136280","journal-title":"Int J Remote Sens"},{"key":"3903_CR17","doi-asserted-by":"publisher","first-page":"804","DOI":"10.1016\/j.oregeorev.2015.01.001","volume":"71","author":"V Rodriguez-Galiano","year":"2015","unstructured":"Rodriguez-Galiano V, Sanchez-Castillo M, Chica-Olmo M, Chica-Rivas M (2015) Machine learning predictive models for mineral perspectivity: an evaluation of neural networks, random forest, regression trees and support vector machines. Ore Geol Rev 71:804\u2013818","journal-title":"Ore Geol Rev"},{"issue":"1","key":"3903_CR18","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1057\/palgrave.ijme.9100003","volume":"3","author":"HJF Peters","year":"2001","unstructured":"Peters HJF (2001) Developments in global seatrade and container shipping markets: their effects on the port industry and private sector involvement. Int J Marit Econ 3(1):3\u201326","journal-title":"Int J Marit Econ"},{"issue":"5","key":"3903_CR19","doi-asserted-by":"publisher","first-page":"958","DOI":"10.1086\/260916","volume":"88","author":"DW Caves","year":"1980","unstructured":"Caves DW, Christensen LR (1980) The relative efficiency of public and private firms in a competitive environment: the case of Canadian railroads. J Polit Econ 88(5):958\u2013976","journal-title":"J Polit Econ"},{"issue":"1","key":"3903_CR20","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1287\/trsc.1030.0036","volume":"38","author":"M Christiansen","year":"2004","unstructured":"Christiansen M, Fagerholt K, Ronen D (2004) Ship routing and scheduling: status and perspectives. Transp Sci 38(1):1\u201318","journal-title":"Transp Sci"},{"issue":"6","key":"3903_CR21","doi-asserted-by":"publisher","first-page":"1006","DOI":"10.1016\/j.tre.2009.02.001","volume":"45","author":"J Rich","year":"2009","unstructured":"Rich J, Holmblad PM, Hansen CO (2009) A weighted logit freight mode-choice model. Transp Res E Logist Transp Rev 45(6):1006\u20131019","journal-title":"Transp Res E Logist Transp Rev"}],"container-title":["Neural Computing and Applications"],"original-title":[],"language":"en","link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3903-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/article\/10.1007\/s00521-018-3903-5\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/s00521-018-3903-5.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,11,25]],"date-time":"2019-11-25T19:18:43Z","timestamp":1574709523000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/s00521-018-3903-5"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2018,11,26]]},"references-count":21,"journal-issue":{"issue":"12","published-print":{"date-parts":[[2019,12]]}},"alternative-id":["3903"],"URL":"https:\/\/doi.org\/10.1007\/s00521-018-3903-5","relation":{},"ISSN":["0941-0643","1433-3058"],"issn-type":[{"value":"0941-0643","type":"print"},{"value":"1433-3058","type":"electronic"}],"subject":[],"published":{"date-parts":[[2018,11,26]]},"assertion":[{"value":"8 September 2018","order":1,"name":"received","label":"Received","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"16 November 2018","order":2,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"26 November 2018","order":3,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Compliance with ethical standards"}},{"value":"There are no conflicts of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}